OLI technology is applied throughout industry to optimize process designs and operations. With the release of the CO2 Transportation Cloud App, users can make data-driven decisions to reduce risk, maintain safe operating conditions, and maximize asset utilization for transportation of CO2.
By democratizing first-principles based predictive models through a simple user experience, OLI seeks to bring vital information to help organizations realize how conditions will impact operations and optimize CO2 transportation.
OLI has conducted extensive thermodynamic studies into the behavior of impurities, such as H2S, NOx, SOx, and H2O, in dense phase CO2 transportation conditions and have extended their state-of-the-art models to accurately predict corrosive phases or solid formations in CO2 pipelines.
According to the Global CCS Institute more than 150 carbon capture and storage facilities are currently in development. As industry seeks to meet their net-zero commitments, captured CO2 must often be transported hundreds of miles. Cross-industry CCS clusters are being developed to gather the captured CO2 from industrial emitters and transported through pipeline infrastructure to the end destinations.
Pipeline operators need to maximize asset utilization and optimize profitability while protecting their capital-intensive networks from corrosive damage. The behavior of impurities in the conditions required for efficient transportation of dense phase CO2 is complex and unpredictable, forcing operators to have to make difficult choices; to operate in conservative and sub-optimal conditions or put their assets at risk of hazardous pipeline failure.